Teams

MSIL 6.5 Winter Combo Mixed Stoltz-Bloomington

2026 Combo Mixed · MSIL 6.5 Combo Mixed

15 players · average NTRP 3.36 / MID-SOUTH ILLINOIS

View scouting list →
Schedule6 played
L#1 DoublesBrett Henneberg / Taylor Liccar vs Noel Castro / Yujin Lee5-7, 4-6
L#2 DoublesCraig Conway / Tenley Banik vs Lijian Zhang / JOOYEN KIM2-6, 2-6
L#3 DoublesJeff Mayer / Jenna Sylvester vs Kai Wang / Minsook Kim3-6, 2-6
L#1 DoublesBrett Henneberg / Taylor Liccar vs Brittany Pope / Sean Miller6-7, 5-7
W#2 DoublesCraig Conway / Tenley Banik vs Joshua Risinger / Ginny Kerwin6-1, 7-5
L#3 DoublesJeff Mayer / Jenna Sylvester vs Christopher Stewart / Amy Armstrong6-7, 7-6, 0-1
W#1 DoublesThomas Sanner / Maribeth Dura vs Shekar Arcot / Kristen Burkard4-6, 6-3, 1-0
W#2 DoublesErik Siembab / Tenley Banik vs Muthiah Muthukumar / Elaina Rhoades6-2, 6-1
W#3 DoublesBrett Henneberg / Rini Stoltz vs Joe Mulcahey / Michele Kendall6-1, 7-5
W#1 DoublesErik Siembab / Tenley Banik vs Sung Min Moon / Molly McMahon7-5, 4-6, 1-0
W#2 DoublesThomas Sanner / Lisa Bennett vs Gawon Lee / Molly Tracy2-6, 6-3, 1-0
W#3 DoublesBrett Henneberg / Rini Stoltz vs Hyegi Min / Minsook Kim6-1, 6-2
L#1 DoublesChansun Shin / Suejung Han vs Jason Mcgary / Elaine Hardy6-7, 1-6
L#2 DoublesNicholas Troehler / Allison Bertsche vs Bradley Douglas / Angelia Neeley1-6, 1-6
L#3 DoublesPhilip Woodrum / Maribeth Dura vs Kristen Burkard / Shekar Arcot3-6, 2-6
W#1 DoublesPhilip Woodrum / Lisa Bennett vs Chris Ehrlich / Michelle Pulce-Flynn7-6, 6-3
L#2 DoublesNicholas Troehler / Allison Bertsche vs Sonthana Thongsithavong / Ginny Kerwin4-6, 7-6, 1-0
L#3 DoublesChansun Shin / Suejung Han vs Anthony Pepe / Sally Boland3-6, 0-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
Flight standings4 teams · MSIL 6.5 Combo Mixed
TeamWLInd. WInd. LSets lostGames lost
1MSIL 6.5 Winter Combo Mixed Wang-Champaign5113511108
2MSIL 6.5 Winter Combo Mixed Hogan-Decatur4210819171
3MSIL 6.5 Winter Combo Mixed Stoltz-Bloomington2481023182
4MSIL 6.5 Winter Combo Mixed Neeley-Peoria1551328194

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.05 estimated across 11 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.48
Maribeth Dura
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.37
Brett Henneberg
usually #1 Doubles 38%, also #3 Doubles 38% · published 3.5
3.25
Erik Siembab
usually #3 Doubles 33%, also #2 Doubles 33% · published 3.5
3.20
Thomas Sanner
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.13
Craig Conway
usually #2 Doubles 100% · published 3.5
3.02
Nicholas Troehler
usually #2 Doubles 100% · published
3.00
Chansun Shin
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
2.87
Philip Woodrum
usually #1 Doubles 50%, also #3 Doubles 50% · published
2.75
Rini Stoltz
usually #3 Doubles 60%, also #2 Doubles 20% · published 3
2.74
Allison Bertsche
usually #2 Doubles 100% · published 3
2.71
Suejung Han
usually #3 Doubles 50%, also #1 Doubles 50% · published
Jenna Sylvester
usually #3 Doubles 100% · published
John Delanois
published
Lisa Bennett
published
Tenley Banik
usually #2 Doubles 75%, also #1 Doubles 25% · published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Suejung Han + Chansun Shin6452% gamesnot enough data
Brett Henneberg + Rini Stoltz8258% gamesnot enough data
Craig Conway + Tenley Banik5453% gamesnot enough data
Erik Siembab + Rini Stoltz2343% gamesnot enough data
Rini Stoltz + Nicholas Troehler2337% gamesnot enough data
Suejung Han + Brett Henneberg404 matchesnot enough data
Suejung Han + Erik Siembab224 matchesnot enough data
Brett Henneberg + Allison Bertsche404 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

3.5
Maribeth Dura
104W–77L career · 2 lines in 2026
<1%56%44%
3.48
3.5
Brett Henneberg
61W–44L career · 8 lines in 2026
<1%82%18%
3.37
3.5
Erik Siembab
90W–94L career · 3 lines in 2026
4%93%4%
3.25
Thomas Sanner
19W–17L career · 2 lines in 2026
<1%8%92%
3.20
3.5
Craig Conway
36W–56L career · 2 lines in 2026
17%82%<1%
3.13
Nicholas Troehler
19W–36L career · 2 lines in 2026
44%56%<1%
3.02
3.5
Chansun Shin
11W–10L career · 2 lines in 2026
51%49%<1%
3.00
Philip Woodrum
13W–11L career · 2 lines in 2026
<1%82%18%
2.87
3
Rini Stoltz
33W–36L career · 5 lines in 2026
4%93%4%
2.75
3
Allison Bertsche
14W–22L career · 2 lines in 2026
5%92%3%
2.74
Suejung Han
20W–22L career · 2 lines in 2026
6%92%2%
2.71
Jenna Sylvester
2W–8L career · 2 lines in 2026
not enough data
John Delanois
30W–19L career · no lines in 2026
not enough data
Lisa Bennett
7W–1L career · no lines in 2026
not enough data
Tenley Banik
15W–15L career · 4 lines in 2026
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.